Tiếng ViệtMany organizations possess vast amounts of data, yet still make flawed decisions. The root causes often lie in fragmented data, context-less KPIs, and the lack of real-time operational insights.
Having More Data Does Not Guarantee Better Decisions
In the digital era, data is often considered the “fuel” of management. Most enterprises have already implemented systems such as ERP, CRM, or analytics tools. However, in reality, having data does not necessarily translate into making accurate decisions.
According to a survey by NewVantage Partners, over 97% of organizations are investing in data and AI, yet only about 24% have truly become data-driven decision-making organizations. This gap highlights a fundamental issue: data exists, but it is not yet sufficient to support effective decision-making.
When Data Fails to Reflect Operational Reality
Most enterprise data today focuses on outcomes: revenue, profit, and aggregated KPIs. These metrics indicate what has happened, but they do not explain what is happening within operational processes.
Research from McKinsey & Company shows that more than 60% of executives struggle to identify root causes of issues despite having comprehensive reports. When data is not connected to workflows, decisions are more likely to rely on assumptions rather than real operational evidence.
Fragmented Data Distorts Management Perspectives
Another major barrier is data fragmentation across multiple systems. Each department often uses its own tools, creating disconnected “data silos.”
According to IBM, organizations can spend up to 30% of their time just searching for and reconciling data. Without a single source of truth, decisions become inconsistent and may even conflict across departments.
This is why many organizations end up “having data but lacking truth.”
Data Latency Undermines Decision Value
Data is only valuable when it arrives at the right time. However, many organizations still rely on periodic reports—daily, weekly, or monthly.
According to Deloitte, organizations that leverage real-time data can improve decision-making speed by up to five times. In contrast, delayed data forces businesses to react after problems occur, rather than proactively manage operations.
In highly competitive environments, this delay can directly impact costs, revenue, and customer experience.
Operational KPIs: The Missing Link in Management
An effective KPI system should go beyond financial metrics. However, many organizations still overlook operational KPIs—metrics that reflect performance at each step of a process.
According to Harvard Business Review, companies that track KPIs at the process level achieve significantly higher performance. Without operational KPIs, managers cannot detect bottlenecks early and are forced to act only after issues have escalated.
Why Doesn’t Data Lead to Action?
A common issue is that data is not integrated into decision-making processes. Dashboards and reports exist but are not tied to specific actions.
According to Gartner, more than 70% of data projects fail to deliver expected business value, primarily due to the lack of connection between data and operations.
When data does not trigger action, it remains merely a reference point rather than a tool for execution.
Operational Data: The Key to Accurate Decisions
The real difference lies in the type of data organizations use. Operational data reflects the entire workflow in real time, including progress, status, and performance at each step.
Unlike reporting data, operational data enables organizations to:
- Identify issues as soon as they arise
- Understand root causes instead of relying on assumptions
- Make faster, evidence-based decisions
This forms the foundation for shifting from “managing by reports” to “managing by data.”
The Inevitable Shift: Real-Time Data-Driven Decision Making
Modern enterprises are moving toward management models where data is directly embedded into workflows. Decision-making is no longer the final step but an integral part of continuous operations.
With this approach, SiciX provides an operational data platform that:
- Captures data directly within workflows
- Standardizes KPIs at each task level
- Updates data in real time
- Connects data with actionable insights
As a result, managers can not only see outcomes but also control how those outcomes are generated.
In an era of abundant data, competitive advantage no longer lies in simply “having data,” but in using it effectively.
Organizations make better decisions not because they have more data, but because they have the right operational data—accurate, sufficient, and timely.
This is the foundation for enhancing governance quality, optimizing performance, and achieving sustainable growth.
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